自动化学报2019，Vol.45Issue(1)：226-233,8.DOI:10.16383/j.aas.2018.c180404
随机非线性系统基于事件触发机制的自适应神经网络控制
Event-triggered Adaptive Neural Network Control for a Class of Stochastic Nonlinear Systems
摘要
Abstract
This paper investigates the event-triggered adaptive output-feedback control problem for a class of strictfeedback stochastic nonlinear systems, and a novel event-triggered adaptive neural network output-feedback control strategy is proposed. The radial basis function neural networks are utilized to approximate the unknown nonlinear functions.By introducing Nussbaum gain function and designing filter during the backstepping design procedure, the effect of unknown control direction is compensated. The boundness of the closed-loop stochastic nonlinear system is guaranteed by designing a relative threshold event-triggered mechanism. Finally, a numerical example is given to show the effectiveness of the proposed control strategy.关键词
随机非线性系统/事件触发/反步法/自适应神经网络/输出反馈Key words
Stochastic nonlinear systems/event-triggered/backstepping/adaptive neural network (ANN)/output-feedback引用本文复制引用
王桐,邱剑彬,高会军..随机非线性系统基于事件触发机制的自适应神经网络控制[J].自动化学报,2019,45(1):226-233,8.基金项目
国家自然科学基金(61803122,61873311) （61803122,61873311）
高等学校学科创新引智计划项目(B16014) （B16014）
博士后创新人才支持计划(BX20170067) （BX20170067）
中国博士后科学基金面上项目(2018M630359) （2018M630359）
黑龙江省青年科学基金(QC2018077)资助 （QC2018077）
